| 書(shū)目名稱(chēng) | Understanding Clinical Data Analysis | | 副標(biāo)題 | Learning Statistical | | 編輯 | Ton J. Cleophas,Aeilko H. Zwinderman | | 視頻video | http://file.papertrans.cn/942/941357/941357.mp4 | | 概述 | The book uses the best-help-there-is for making the difficult issues understandable by using real data examples rather than hypothetical examples.Complementarily to real data examples, the book contin | | 圖書(shū)封面 |  | | 描述 | .This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after having done so, why procedures were performed the way they were. The book is also a must-read to those who tend to submerge in the flood of novel statistical methodologies, as communicated in current clinical reports, and scientific meetings..In the past few years, the .HOW-SO. of current statistical tests has been made much more simple than it was in the past, thanks to the abundance of statistical software programs of an excellent quality. However, the .WHY-SO. may have been somewhat under-emphasized. For example, why do statistical tests constantly use unfamiliar terms, like probability distributions, hypothesis testing, randomness, normality, scientific rigor, and why are Gaussian curves so hard, and do they make non-mathematicians getting lost all the time? Thebook will cover the .WHY-SOs.. | | 出版日期 | Textbook 2017 | | 關(guān)鍵詞 | Statistical Reasoning; Hypothesis Testing; Clinical data analysis; Statistical methodologies; Medical St | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-39586-9 | | isbn_softcover | 978-3-319-81917-4 | | isbn_ebook | 978-3-319-39586-9 | | copyright | Springer International Publishing Switzerland 2017 |
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